Senior Assistant Librarian Engineering and Artificial Intelligence

Senior Assistant Librarian for Engineering and Artificial Intelligence

Job no: 554130
Work type:
Instructional Faculty – Tenured/Tenure-Track

Location:

Long Beach
Categories:
Unit 3 - CFA - California Faculty Association, Tenured/Tenure-Track, Full Time, Faculty - Education/Library Science

Effective Date:
On or about August 17, 2026 (Fall Semester)
Salary Range:
The Senior Assistant Librarian (12‑Month) classification salary is $85,524 to $182,532 per year (12 monthly payments). The anticipated hiring range is $86,004 to $96,000 per year; $7,167 to $8,000 per month. Salary offered is commensurate with qualifications and experience.
Final date to receive applications:
Review of applications to begin February 17, 2026. Position opened until filled (or recruitment canceled).

California State University, Long Beach (CSULB) is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander‑Serving Institution (AANAPISI). CSULB earned the prestigious Seal of Excelencia in 2023 and is committed to serving diverse students.

The Engineering and Artificial Intelligence (AI) Librarian is expected to support teaching, learning, and research in the College of Engineering and related programs. The successful candidate will serve as the primary liaison to departments in engineering, computer science, and technology fields, providing specialized research assistance, instruction, and collection development.
Core duties include:

• Provide in‑person and online reference services at a service‑oriented and all‑purpose research and information services desk, including evenings and weekends.
• Conduct instructional and outreach activities for academic programs in CSULB’s College of Engineering (mode of instruction may include in‑person, hybrid, online, and/or any combination thereof).
• Responsible for collection development—evaluating, selecting, deselecting, developing, and reviewing information resources in relation to curricular and collection needs of CSULB’s College of Engineering.
• Provide specialized instruction and consultation on AI‑powered research tools, computational platforms, and discipline‑specific databases used in engineering and computer science research workflows.
• Maintain current knowledge of emerging AI applications and technologies in engineering education and research and incorporate relevant tools and best practices into library services, instructional programs, and research support.
• Engage in creative and scholarly activities (e.g., research, publication, and presentations) to meet the requirements for tenure and promotion.
• Engage in library and university governance, including library and campus committees, and participate in service as outlined in the Retention, Tenure, and Promotion policy to the department, university, and community.

• Master’s degree in library science or equivalent (MSLS, MLIS, MALS) from a library school program accredited by the American Library Association. Degree at time of application or official notification of completion of degree by August 1, 2026.
• Demonstrated potential to achieve tenure through effective job performance and scholarly and service activities. For specific requirements, please see the University Library’s Reappointment, Tenure, and Promotion (RTP) Policy.
• Ability to work collaboratively with academic librarians and staff, teaching faculty, and students in a rapidly changing information environment.
• Experience and/or demonstrated ability in reference and instructionally related activities.
• Exceptional interpersonal, oral, and written communication skills.
• Demonstrated commitment to working successfully with a diverse student population, including low socioeconomic and first‑generation students.

• Undergraduate or graduate coursework in engineering, computer science, or related STEM field.
• Experience providing library support and services to engineering and/or STEM disciplines in an academic setting.
• Knowledge of or experience with AI tools, data analysis, or machine learning applications in education or research.
• Experience of successfully working with populations demographically…